AI / Machine Learning Engineer – Agentic LLM Systems (Contract)

AI / Machine Learning Engineer – Agentic LLM Systems (Contract)

We’re working with a leading tech organisation building next-generation agentic AI systems – LLMs that can plan, reason, call tools, and write/execute code. We’re hiring a Machine Learning Engineer to help design, build, and scale these systems into production-grade, enterprise environments.

You will:

• Design and build tools, workflows, and infrastructure for agentic LLM systems
• Develop RAG pipelines, embeddings workflows, and retrieval systems for enterprise data
• Work with researchers and engineers to diagnose and fix failures in agent-generated code and workflows
• Build frameworks for tool-calling, multi-step planning, orchestration, and agent routing
• Integrate with LLM providers (OpenAI, Anthropic, Vertex AI, open-source models) and support multi-model usage
• Develop backend services and APIs to support AI-driven applications and workflows
• Build and run experiments to improve reliability, latency, cost, and success rates
• Contribute to evaluation frameworks, observability, and monitoring of LLM/agent performance

What We’re Looking For:

• 4+ years’ experience in ML/AI engineering (LLMs, recommender systems, optimisation, or similar)
• Proven hands-on experience building LLM agents, RAG systems, or orchestrated AI workflows in production
• Strong Python (with PyTorch, TensorFlow, or similar frameworks)
• Experience with agent frameworks (LangChain, LangGraph, AutoGen, or similar)
• Solid understanding of APIs, backend services, and microservices architectures
• Experience working with cloud platforms (AWS, GCP, or Azure) and containerised systems (Docker, Kubernetes)
• Familiarity with event-driven or serverless architectures
• Experience with CI/CD pipelines, testing, and infrastructure as code
• Comfortable debugging complex, distributed AI/ML systems
• Experience running and analysing large-scale experiments and performance metrics (latency, accuracy, cost)
• Exposure to monitoring/observability tools for production systems

Nice to Have:

• Experience with multi-agent systems or distributed AI architectures
• Experience optimising LLM usage across multiple providers (cost/performance trade-offs)
• Familiarity with vector databases (Pinecone, Weaviate, OpenSearch, etc.)
• Experience integrating AI systems into enterprise platforms or business workflows

Contract Details:

• £600 - £700 Per Day (Inside IR35)
• 6 Months Initial Contract | + Extensions
• Hybrid | London

Please apply for immediate consideration.